code: def test_gpt_multifield_parity(self):
      model = MultiFieldClassifier(base_model=GPT)
      np.testing.assert_allclose(
          model.featurize(self.MULTIFIELD_TEST_DATA)[0],
          np.load(
              os.path.join(
                  DIRECTORY, "data/test-gpt-multifield-activations.npy"
              )
          ),
          atol=1e-1,
      )
  
file_path: finetune/tests/test_parity.py
imports: import unittest
  import os.path
  import pytest
  import numpy
  from tensorflow.data import Dataset
  from finetune.encoding.input_encoder import EncodedOutput
  from finetune.model import PredictMode
  from finetune.base_models import GPT, GPT2, BERT, RoBERTa, XDocBase
  from finetune import Classifier, MultiFieldClassifier, SequenceLabeler
label_desc: Use image node_id 1 for calling the TestActivationParity obj's underlying member method code with example usage: obj.test_gpt_multifield_parity() without return types